1. Advancing sustainable mobility: artificial intelligence approaches for autonomous vehicle trajectories in roundaboutsSalvatore Leonardi, Natalia Distefano, Chiara Gruden, 2025, original scientific article Abstract: This study develops and evaluates advanced predictive models for the trajectory planning of autonomous vehicles (AVs) in roundabouts, with the aim of significantly contributing to sustainable urban mobility. Starting from the “MRoundabout” speed model, several Artificial Intelligence (AI) and Machine Learning (ML) techniques, including Linear Regression (LR), Random Forest (RF), Support Vector Regression (SVR), Gradient Boosting Regression (GBR), and Neural Networks (NNs), were applied to accurately emulate human driving behavior and optimize AV trajectories. The results indicate that neural networks achieved the best predictive performance, with R2 values of up to 0.88 for speed prediction, 0.98 for acceleration, and 0.94 for differential distance, significantly outperforming traditional models. GBR and SVR provided moderate improvements over LR but encountered difficulties predicting acceleration and distance variables. AI-driven tools, such as ChatGPT-4, facilitated data pre-processing, model tuning, and interpretation, reducing computational time and enhancing workflow efficiency. A key contribution of this research lies in demonstrating the potential of AI-based trajectory planning to enhance AV navigation, fostering smoother, safer, and more sustainable mobility. The proposed approaches contribute to reduced energy consumption, lower emissions, and decreased traffic congestion, effectively addressing challenges related to urban sustainability. Future research will incorporate real traffic interactions to further refine the adaptability and robustness of the model.
Keywords: sustainable mobility, autonomous vehicles, machine learning, roundabouts, artificial intelligence, ChatGPT
Published in DKUM: 04.04.2025; Views: 0; Downloads: 1
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2. Integrating participatory approaches and fuzzy analytic hierarchy process (FAHP) for barrier analysis and ranking in urban mobility planningUroš Kramar, Marjan Sternad, 2025, original scientific article Abstract: This study examines the barriers to implementing sustainable mobility strategies in small municipalities by integrating participatory and multi-criteria decision-making methods. A triangulated approach combines the nominal group technique (NGT), focus groups (FGs), and the fuzzy analytic hierarchy process (FAHP) to systematically identify, refine, and rank key barriers. The NGT enables stakeholders to list and prioritize barriers individually, ensuring balanced participation. FG discussions then refine and contextualize these barriers, addressing qualitative depth. Finally, the FAHP quantitatively ranks the barriers while accounting for uncertainty in stakeholder judgments. The results highlight systemic constraints, such as financial limitations and regulatory inefficiencies, alongside local challenges like inadequate infrastructure and public resistance. Integrating the NGT, FGs, and the FAHP enhances the analytical rigor by merging structured decision-making with participatory engagement. This methodological innovation strengthens the reliability of barrier assessment and offers a replicable framework for urban mobility planning. The findings underscore the need for locally tailored strategies that balance stakeholder inclusion with structured prioritization, contributing to improved governance in sustainable transport planning.
Keywords: sustainable mobility planning, urban mobility, participatory governance, fuzzy analytic hierarchy process, local governance, barriers to implementation, FAHP
Published in DKUM: 26.03.2025; Views: 0; Downloads: 1
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3. The analysis of the effects of a fare free public transport travel demand based on e-ticketingDanijel Hojski, David Hazemali, Marjan Lep, 2022, original scientific article Abstract: The traditional approach in public transport planning was to collect travel demand data for a more extended period and compose timetables to serve this demand. There are two significant identifiable issues. In the rural areas and off-peak hours, public transport operators provide much more capacities than needed. On the other hand, more capacities than scheduled are needed on certain lines at certain departures on some sporadically occurring occasions. The problem is how to react to short-term changes (daily) triggered by exceptional circumstances and events and midterm changes (weekly, monthly basis) in travel demand. We can trigger changes in travel demand chiefly by introducing a desirable (almost for free) tariff system applied to specific populations. No long-term travel response data exists for this kind of intervention, but an immediate response in public transport supply is needed. In Slovenia, public transport for free for the whole population over 65 years was introduced. With the modern ticketing system, which was designed to be as simple as possible for users (that means "check-in only" at the moment of boarding), the research task was to analyze the travel behavior of the retired population, faced with a new attractive option to travel, based on data of purchased tickets and their afterward validation, for better mid-and long-term planning. Our study finds that ITS technology (in this case, e-ticketing system) can satisfactorily solve the discussed planning and management task.
Keywords: fare-free public transport, smart card data collecting, population mobility, travel demand
Published in DKUM: 13.03.2025; Views: 0; Downloads: 1
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4. Cooperation on interdependent networks by means of migration and stochastic imitationSayantan Nag Chowdhury, Srilena Kundu, Maja Duh, Matjaž Perc, Dibakar Ghosh, 2020, original scientific article Abstract: Evolutionary game theory in the realm of network science appeals to a lot of research communities, as it constitutes a popular theoretical framework for studying the evolution of cooperation in social dilemmas. Recent research has shown that cooperation is markedly more resistant in interdependent networks, where traditional network reciprocity can be further enhanced due to various forms of interdependence between different network layers. However, the role of mobility in interdependent networks is yet to gain its well-deserved attention. Here we consider an interdependent network model, where individuals in each layer follow different evolutionary games, and where each player is considered as a mobile agent that can move locally inside its own layer to improve its fitness. Probabilistically, we also consider an imitation possibility from a neighbor on the other layer. We show that, by considering migration and stochastic imitation, further fascinating gateways to cooperation on interdependent networks can be observed. Notably, cooperation can be promoted on both layers, even if cooperation without interdependence would be improbable on one of the layers due to adverse conditions. Our results provide a rationale for engineering better social systems at the interface of networks and human decision making under testing dilemmas.
Keywords: cooperation, interdependent networks, mobile agents, prisoner's dilemma, snowdrift game, game theory, mobility, rational agents
Published in DKUM: 15.01.2025; Views: 0; Downloads: 5
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5. Spatial modelling of the transport mode choice : application on the Vienna transport networkSimona Šinko, Bojan Rupnik, Klemen Prah, Tomaž Kramberger, 2021, original scientific article Abstract: A new approach for spatial modelling of transport mode choice is presented in the paper. The approach tackles the problem by considering the trade-off between subjective and objective factors. To obtain mode Preference Rates (PRs) based on subjective factors, the Analytic Hierarchy Process (AHP) method is applied. The objective factors are expressed with the journey time from any point in the map to destination according to the available transport mode choice on the specific connection. The results are presented as PRs of individual transport modes. The model is validated on the con-ducted the survey, with students of Vienna University of Economics and Business (WU) as a target audience. Members of different target groups (age, national, employment) decide differently regarding the transport choice, so it is better to analyse them separately. The presented model can be used for the city transport planning in any urban area. It can help promote the sustainable modes of transport in the areas that are less adjusted in sustainable manner.
Keywords: transport mode choice, passenger transport, spatial modelling, city transport planning, city mobility, urban logistics, ergonomics, AHP, decision-making policy, GIS, students, objective and subjective factors, transport management
Published in DKUM: 10.12.2024; Views: 0; Downloads: 7
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6. Spatial modelling of modal shift due to COVID-19Simona Šinko, Klemen Prah, Tomaž Kramberger, 2021, original scientific article Abstract: The outbreak of COVID-19 caused many changes in people's life. One of the most significant is the travel behaviour and transport mode choice. This study focus on the changes that the inhabitants of Vienna made in their travel choices because of the virus. The same research about spatial modelling the transport mode choice of commuters in Vienna was completed in 2019 and is a topic addressed in our previous work. Based on our developed methodology, this article indicates that public transport is not a dominant transport mode choice as it was before the virus outbreak.The main result of this paper is geographically defined areas of application of individual alternatives shown on the final map of modal shift in Vienna, which could provide theoretical support for policy-makers and transportation planners. For the city of Vienna, we found that the area of the city where cars are now used has increased, which certainly has a negative impact on air quality and life in the city. The advantage of the methodology is that it can also be applied to other cities in the world.
Keywords: coronavirus, city traffic, urban mobility, transport mode choice, passenger transport, geographical methods, spatial modelling, city logistics, Vienna
Published in DKUM: 14.10.2024; Views: 0; Downloads: 21
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7. Intra-city mobility and characterization in a fastgrowing city of Lagos, NigeriaSimeon Oluwagbenga Fasina, Ayobami Ademola Akanmu, Umar Obafemi Salisu, Samuel Adetunji Okunubi, 2020, original scientific article Abstract: Effective urban transportation no doubt serves as engine room and catalyst for driving national economic development. Significantly, the purpose of urban transport is to provide both passenger and freight mobility over specific parts of urban areas including cities, and its efficiency is characterized upon transporting effectively and achieving economies of scale. Hence, this study examined intra-city mobility and characterization in Lagos, Nigeria. The data was sourced from both primary and secondary sources. Primary data detailed the use of two sets of questionnaires administered to commuters and motorists. 182 copies of questionnaire were randomly administered to commuters, while 60 units of the questionnaire were purposively and conveniently administered to motorists. Descriptive and inferential techniques were used for data analysis. Major findings revealed obvious variations in socio-economic parameters of intra-city trip makers and factors influencing trip making. It was observed that journey to work, school, shopping cum business constituted the major trips characterizing in Lagos. Findings also revealed that high patronage priority was given to most used and preferred means due to vehicle travel speed, trip purpose, and availability than safety and comfortability of modal choice. Regression analysis result revealed that commuters’ modal choice and patronage is statistically influenced by operational attributes of mode (e.g. transit time, delay duration, safety, vehicle condition and transit fare etc.) at Sig. p=0.000 and F14165 15.667 which is greater than table value at 5% significant level. The study recommended among others the formulation and implementation of effective policy for urban transport activities; standardization of service operations and expansion of infrastructural facilities including the last-mile in the city.
Keywords: urban mobility, transportation, mobility index, Lagos
Published in DKUM: 22.08.2024; Views: 81; Downloads: 8
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8. Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approachesCésar Peláez-Rodriguez, Jorge Pérez-Aracil, Dušan Fister, Ricardo Torres- López, Sancho Salcedo-Sanz, 2024, original scientific article Keywords: cities green mobility, bike sharing demand prediction, cable car demand prediction, machine learning, deep learning
Published in DKUM: 22.08.2024; Views: 76; Downloads: 10
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9. Synthesis and study of fully biodegradable composites based on poly(butylene succinate) and biocharKaterina Papadopoulou, Panagiotis A. Klonos, Apostolos Kyritsis, Ondřej Mašek, Christian Wurzer, Konstantinos Tsachouridis, Antonios D. Anastasiou, Dimitrios Bikiaris, 2023, original scientific article Keywords: poly(butylene succinate), biochar, biocomposites, thermal properties, thermal conductivity, molecular mobility, mechanical properties, enzymatic hydrolysis
Published in DKUM: 10.04.2024; Views: 200; Downloads: 15
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10. A rational design of isoindigo-based conjugated microporous n-type semiconductors for high electron mobility and conductivityKayaramkodath C. Ranjeesh, Ayman Rezk, Jose Ignacio Martinez, Safa Gaber, Areej Merhi, Tina Škorjanc, Matjaž Finšgar, Gisha Elizabeth Luckachan, Ali Trabolsi, Bilal R. Kaafarani, 2023, original scientific article Abstract: The development of n-type organic semiconductors has evolved significantly slower in comparison to that of p-type organic semiconductors mainly due to the lack of electron-deficient building blocks with stability and processability. However, to realize a variety of organic optoelectronic devices, high-performance n-type polymer semiconductors are essential. Herein, conjugated microporous polymers (CMPs) comprising isoindigo acceptor units linked to benzene or pyrene donor units (BI and PI) showing n-type semiconducting behavior are reported. In addition, considering the challenges of deposition of a continuous and homogeneous thin film of CMPs for accurate Hall measurements, a plasma-assisted fabrication technique is developed to yield uniform thin films. The fully conjugated 2D networks in PI- and BI-CMP films display high electron mobility of 6.6 and 3.5 cm2 V−1 s−1, respectively. The higher carrier concentration in PI results in high conductivity (5.3 mS cm−1). Both experimental and computational studies are adequately combined to investigate structure–property relations for this intriguing class of materials in the context of organic electronics.
Keywords: conjugated microporous polymers, isoindigo, semiconductors, conductivity, electron mobility
Published in DKUM: 03.04.2024; Views: 219; Downloads: 16
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